CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id caadria2009_092
id caadria2009_092
authors Liu, Chun-Hung; Chang-Franw Lee
year 2009
title The Design of a Mobile Navigation System Based on QR Codes for Historic Buildings
doi https://doi.org/10.52842/conf.caadria.2009.103
source Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 103-112
summary Due to the rapid development of mobile and compact electronic devices such as PDAs and smart phones, designers and developers now have to consider user mobility and the dynamic context of use in the design of interactive systems. In this study, literatures associated with mobile navigation systems in museums and historic buildings are first reviewed in order to understand the features, advantages, and drawbacks of current mobile navigation technology. The feasibility of applying QR codes in the navigation of historic buildings is then discussed, and the mobile navigation principles mentioned in previous literatures are applied in our proposed system. A number of common problems are encountered in the navigation of local historic buildings or museums. Visitors (1) cannot understand what makes an exhibited item a work of art; (2) do not know where to start or how to get started; (3) feel rushed by guides during the guided tour; and (4) find that the audio guide is not clear enough. Managers of historic buildings or museums are generally concerned about (1) the high cost of constructing a mobile navigation environment; (2) possible damage to devices; and (3) the cost of device maintenance. This study attempts to solve the above issues by constructing an affordable digital navigation environment that enables users to clearly understand each exhibited item and its location.
keywords Mobile navigation; QR code; historic buildings
series CAADRIA
email
last changed 2022/06/07 07:59

_id 4e6e
authors Liu, Clive K. and Eastman, Charles M.
year 1981
title Object Grammars : Language for the Generation of Masonry Designs
source 20 p. ; ill April, 1981. includes bibliography.
summary Bricks, one of the oldest manufactured building materials, are used extensively in construction. Usually they are built into wall assemblies. In this paper, the construction of traditional masonry designs are investigated. Object grammars are defined for the recursive generation of the 3 dimensional wall designs. Also, the uses of object grammars are discussed
keywords shape grammars, objects, synthesis, assemblies, architecture, applications
series CADline
email
last changed 2003/06/02 13:58

_id c327
authors Liu, Clive K.
year 1981
title A Graphic Processor for Computer-Aided Engineering Drawing
source October, 1981. 7 p
summary A drafting system whose purpose of is to provide an advanced tool for teaching engineering drawing and as a production tool for designers who regularly produce engineering drawings is described. The graphic processor is part of the system, which incorporates a set of operations that produce and manipulate graphic entities and that require graphic entities as operands. This paper examines the issues of constructing such a processor. Representations are proposed for 2D graphic objects, including points, line segments and segments generated by conic sections; which are predefined data types in the system. The geometric primitive operators take these objects as arguments and produce other graphic objects, and allow users to build up various construction operators and drawings with the same flexibility and generality allowed in, say, descriptive geometry. These operators, which are functions, can be combined as macro expressions that executed by the processor. This environment allows users to define their own macros for various tasks
keywords CAD, drafting, education, tools
series CADline
last changed 2003/06/02 13:58

_id 8c95
authors Liu, Clive K.
year 1984
title Drawings as Models for Design: A Computer Drawing System to Build Models Supporting Design Process through Abstractions
source Carnegie Mellon University, Pittsburgh
summary A general design process can be characterized by the sequence of defining various abstract objects used to represent the artifact. For example, designers use various abstractions (dclined as abstrnct objects), such as graphs, polygons, etc., to represent the artifact. As design evolves, these abstract objects will be transformed into a definition (eg. of a building) detailed enough to allow manufacturing and to determine that the result will perform as desired. This thesis is concerned with providing a computer drawing system that could support various abstractions in the design process and allow various representations of the design to be processed and interpreted. A precise drawing contains not only the shape information, but also conveys many topological and geometric relations that its elements must hold to correspond to the arbfact in reality. For many operations during design, one wants these type of relations to be maintained. Other than the drawing being an iconic model, these relations are the semantics of the drawing and, if embedded in the drawing, imbue it with many characteristics of a symbolic model. Current CAD systems have no or limited mechanisms for embedding such relations in a drawing. It is my intent to demonstrate that drawings, especially for shape (both topologV and geometry) information, can be defined as various abstract objects during design process. Therefore, drawings are used as models to represent the artifact. When a model is manipulated, relations defined in the model are maintained.
series thesis:PhD
last changed 2003/02/12 22:37

_id 9d2e
authors Liu, H., Tang, M. and Frazer, J. H.
year 2002
title A Knowledge Based Collaborative Design Environment
source Gero JS and Brazier FMT (eds) (2002) Agents in Design 2002. Key Centre of Design Computing and Cognition, University of Sydney, pp. 233-246
summary In this paper, we propose an agent based collaborative design environment in which human designers and software agents interact with each other, exchange design information and keep track of state information to assist with collaborative design. First of all, it presents a hierarchical multi-agent system architecture for integrating design and engineering tools, software agents and human specialists in an open environment. The hierarchical multi-agent system architecture offers a promising framework with their novel approaches for dynamically creating and managing design tasks in widely distributed and ever-changing design environments. Secondly, it introduces a collaborative design process model and the dynamic management approach for collaborative design process. Then, the structure of a design agent, its static knowledge and dynamic knowledge are introduced respectively. The knowledge based design approach provides a foundation for supporting reusable design activities. Finally, the cooperative design process is illustrated by a bicycle design example.
series other
email
last changed 2003/05/10 10:16

_id acadia19_404
id acadia19_404
authors Liu, Henan; Liao, Longtai; Srivastava, Akshay
year 2019
title AN ANONYMOUS COMPOSITION
doi https://doi.org/10.52842/conf.acadia.2019.404
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 404-411
summary Within the context of continuous technology transformations, the way scientists and designers process data is changing dramatically from simplification and explicit defined rules to searching and retrieving. Ideally, such a trending method can eliminate issues including deviation and ambiguity with the help of hypothetically unlimited computational power. To process data in this manner, artificial intelligence is necessary and needs to be integrated into the design process. An experiment of a design process that consists of a generative model, a data library, and a machine learning system (GAN) is introduced to demonstrate its effectiveness. The methodology is further evaluated by comparing its output with its input targets, which proves the possibility of employing machine learning systems to aggressively process data and automate the design process. Further improvement of such methodology, including judging criteria and possible applications, and the sensibility of the machine is also discussed at the end.
keywords Machine Learning, Automation, Variables, Data Processing, Sensibility, Generative Design
series ACADIA
type normal paper
email
last changed 2022/06/07 07:59

_id caadria2007_165
id caadria2007_165
authors Liu, Huai-Wie; Ji-Hyun Lee
year 2007
title Personal Assistant: Autonomous Agents Base on Multi-Agent System among Different Industrial Design Stakeholders
doi https://doi.org/10.52842/conf.caadria.2007.x.f2e
source CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
summary To deal with complex communication problems, requires both a web-based collaborative system and a multi-agent system (MAS) integrated with knowledge management architecture. Agents have been acknowledged as a promising approach through the metaphor that an agent can act as a personal assistant. In this paper we proposes an approach to develop personal assistant agents, each of which can represent a different stakeholder and load different domain knowledge inside. To demonstrate our proposed concepts, we focus on a prototype system for notebook design for the company ASUS, a leading notebook manufacturer based in Taiwan.
series CAADRIA
email
last changed 2022/06/07 07:50

_id 91ea
authors Liu, J.
year 1997
title Quality prediction for concrete manufacturing
source Automation in Construction 5 (6) (1997) pp. 491-499
summary The problem of extracting information from several sources of information is a very important issue in intelligent systems. In the field of manufacturing concrete--one of the most common construction materials--in Hong Kong, this problem is quite common. There is no direct formulation of concrete mix for specified properties, and all of the mixes are designed by experience and subject to quality inconsistency due to many possible mixing variations. This paper describes an application of neural network techniques to the acquisition of qualitative knowledge during the production of concrete. It shows the capabilities of the developed model for the analysis and representation of production data and prediction of the quality of concrete under different mixing formulations. The simulation results indicate that the neural network's prediction is generally superior to those of conventional methods which often require time-consuming trial mixes for verifying the specified properties before mass production for use.
series journal paper
more http://www.elsevier.com/locate/autcon
last changed 2003/05/15 21:22

_id caadria2024_272
id caadria2024_272
authors Liu, Jiaxin, Huang, Xiaoran and Yan, Hongming
year 2024
title Exploring Visual Factors Influencing Women’s Perceived Insecurity in Metro Stations and Adjacent Built Environments: A Case Study of Milan, Italy
doi https://doi.org/10.52842/conf.caadria.2024.2.385
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 385–394
summary Prior research has established a direct correlation between women's perceived insecurity in public spaces and the design of the surrounding built environment. However, limited attention has been given to investigating how the built environment influences women's security perceptions within metro systems. This study introduces a novel methodology to analyze the impact of visual factors on the entire walking experience within commuter cores, covering both the station and surrounding areas in Milan Metro Line 1. Both Street View Imagery (SVI) and manual photography are employed for semantic segmentation analysis, followed by expert auditing and machine learning for evaluation. Finally, the study constructs regression models to analyze the relationship between the area ratio of visual factors and women’s perceptions. The results demonstrate that certain factors, such as wider platforms and sidewalks, can positively influence women's safety perceptions in the surrounding and interior spaces, respectively. The models could be used to dissect Milan's other metro stations and their surroundings, offering insights applicable to other metro lines. Moreover, the methodology presents serves as a framework for investigating analogous concerns in diverse cities and delving into the experiences of other marginal groups.
keywords metro station, perceived insecurity, women perception, Google Street View, built environment, deep learning, inclusive city
series CAADRIA
email
last changed 2024/11/17 22:05

_id caadria2018_306
id caadria2018_306
authors Liu, Jie, Ma, Hongtao, Tang, Ning, Xu, Weiguo and Luo, Dan
year 2018
title Kinetair: Interactive Stairs with Multiple Functions
doi https://doi.org/10.52842/conf.caadria.2018.2.369
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-378
summary Kinetair is an interactive stairs prototype which could change its appearance according to the surrounding conditions, providing a diversity of functions, such as stairs, exhibition walls, furniture and so on. This research is based on the Interactive Architecture theory, integrating with digital fabrication technology. This paper will illustrate the origin of the concept, the concept development process, the fabrication process and the various possible application of Kinetair. This experiment evokes us to rethink the fundamental meanings of the architecture components in a brand new perspective, and stimulates designers to explore the new features of conventional constructions with cutting-edge technologies.
keywords interactive stairs; stair design; kinetic structure; dynamic design; adaptive form
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2021_396
id caadria2021_396
authors Liu, Jie, Wang, Yuechen and Zhu, Ning
year 2021
title Cycling Virtual Tour - A Remote Online Travel System Based On Interactive Technologies And Its User Experience Evaluation
doi https://doi.org/10.52842/conf.caadria.2021.2.243
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 243-252
summary Virtual reality has been widely adopted into various fields of human life. It is entering the world of tourism to remote places. This paper proposes a brand-new interaction design system for remote online virtual tourism based on bicycle riding behavior and projection mapping technologies. Through the user experience evaluation experiments of this system, the research found that this interactive system can effectively improve the realism and sense of the presence of the virtual environment. It can also enhance the delectation and satisfaction of the virtual tour. At the same time, this system can reduce the simulator syndrome which plays as a common problem in the traditional virtual tour experience.
keywords interaction design; immersive environment; virtual tour; user experience
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2019_227
id caadria2019_227
authors Liu, Jie, Xu, Weiguo, Chang, Jiahui, Ma, Hongtao and Xu, Qingqing
year 2019
title Flipped - An Interactive Installation Working as Social Catalyst for Social Anxiety Disorder Students
doi https://doi.org/10.52842/conf.caadria.2019.1.515
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 515-524
summary This research attempts to use an architectural design approach to increase the opportunities to participate in social activities and the chances to establish friendship for social anxiety disorder students. By analyzing the cause and treatment of social anxiety disorder, we propose an entertaining, therapeutic interactive installation named Flipped which working as a social catalyst for social anxiety disorder students. In order to build the installation space intelligent and friendly, a variety of advanced technologies have been embedded into the design. The paper will detail the development of the design concept, the technical implementation of the construction, and the problems encountered during the experience activities.
keywords Interactive Installation; Social Anxiety Disorder; Therapeutic Interactive Environment; Social Catalyst
series CAADRIA
email
last changed 2022/06/07 07:59

_id ecaade2021_223
id ecaade2021_223
authors Liu, Jie
year 2021
title From Physiology to Architecture - The methodology for interactive architecture behavior design
doi https://doi.org/10.52842/conf.ecaade.2021.1.195
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 195-204
summary Interactive architectural design is a booming topic in current architectural research, which requires thinking about how to realize buildings provide various spatial services according to users' needs. In the human-building interaction (HBI) design, the architectural behavior design plays as one of the most relevant and essential parts of architectural space design. HBI design requires the establishment of a standard behavioral language system for architecture and people. Therefore, this paper proposes that the design of architectural behavior can mimic human behavior at the physiological level, thus making it easier for people to understand the behavior of architecture. The paper systematically analyzes the design methods and design routes to build muscular and glandular systems for architecture through some case studies.
keywords interactive architecture; human-building interaction; design methodology
series eCAADe
email
last changed 2022/06/07 07:59

_id ijac202119103
id ijac202119103
authors Liu, Jingyang; Yi-Chin Lee, and Daniel Cardoso Llach
year 2021
title Computational design and fabrication of highly customizable architectural space frames: Making a flat-cut Weaire-Phelan structure
source International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 37–49
summary This paper documents a computational approach to the design, fabrication, and assembly of customizable space structures built entirely out of flat-cut interlocking elements without the need of nodes, fasteners, cement, or glue. Following a Research by Design (RbD) methodology, we establish a framework comprising geometric and parametric modeling, structural analysis, and digital fabrication stages to examine the following research question: how might the modularity of a construction kit be combined with the plasticity of parametric descriptions to facilitate the design and fabrication of flat-cut space structures? We find that an adaptive joint design that resolves local deformations at the node and element levels can facilitate the construction of flat-cut space structures by making modular components responsive to local geometric, material, and mechanical demands. The research centers on the design and construction of an architecture-scale installation based on the Weaire-Phelan structure—an aperiodic space-filling geometric structure that approximates the geometry of foam—entirely out of flat-cut interlocking elements. Documenting the process in technical detail, as well as some limitations, the paper contributes to recent efforts to develop digital materials suitable for architectural applications. In addition, it contributes to extend the formal and architectural possibilities of flat-cut space structure design by facilitating “bottom-up” design explorations in concert with the structure’s tectonic resolution.
keywords Computational design, generative fabrication, construction kit
series journal
email
last changed 2021/06/03 23:29

_id caadria2023_114
id caadria2023_114
authors Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang
year 2023
title Behaviour Simulation Optimization Based on the Influence of Microclimate on Crowd Perception – A Case Study of Urban Waterfront Public Space
doi https://doi.org/10.52842/conf.caadria.2023.2.019
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 19–28
summary The outdoor behaviour is usually influenced by space and environment. Previous studies on behaviour simulation of outdoor space always focused on the influence of two-dimensional space, but did not take the microclimate perceived into account. However, the microclimate of outdoor public spaces has a strong influence on the activities, which makes the subsequent behaviour simulation results unable to fit well with the reality. Therefore, this research attempts to integrate the influence of space and microclimate perception of crowd into behaviour simulation system. Firstly, we explored the laws of behaviour in terms of seasons, weekdays/weekends, and time slices. Secondly, the multiple linear regression equations of the influence of space and microclimate on behaviour were established. In addition, combining the laws and models with the social force model, a behaviour simulation model in public space under the joint influence of microclimate and space was established. Finally, a comprehensive workflow combining microclimate simulation and behaviour simulation was proposed. The research promoted the application and development of behaviour simulation technology from strong-purpose behaviours to weak-purpose and non-purpose behaviours. Moreover, starting from human behaviour and perception, it provides support for the optimization of urban public space from the bottom up.
keywords Behaviour Simulation, Microclimate Perception, Outdoor Activities, Public Space
series CAADRIA
email
last changed 2023/06/15 23:14

_id caadria2024_382
id caadria2024_382
authors Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang
year 2024
title Prediction, Simulation and Evaluation of Stay Behavior in Public Space Integrated With Microclimate
doi https://doi.org/10.52842/conf.caadria.2024.2.129
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 129–138
summary As "users", individuals directly influence the use of space through their choices and decisions, ultimately determining the vitality of the space. Among these behaviours, stay behaviour significantly contributes to the dominance of space vitality due to its longer occupancy. Therefore, this study focuses on the stay behaviour in public spaces, with a specific emphasis on the choice and decision-making related to seating facilities. The study introduces a neural network model to analyse the influence weights of space and microclimate factors on the preferences of individuals. These weights are then integrated into a social force model to achieve the simulation and visualization of stay behaviour in public spaces. Building upon the results of behaviour simulation, the study evaluates the current utilization of seating facilities in existing public spaces. The original contribution of this study proposes a comprehensive workflow for the simulation of stay behaviour, encompassing "model construction - visualization - evaluation analysis - optimization." The aim is to provide insights for the quantitative analysis and rapid design of urban spatial environments.
keywords Public Space Analysis, Outdoor Activities, Behaviour simulation, Behaviour Prediction, Microclimate Perception
series CAADRIA
email
last changed 2024/11/17 22:05

_id caadria2022_238
id caadria2022_238
authors Liu, Nuozhi and Koh, Immanuel
year 2022
title Machine-Reading Places & Spaces: Generative Probabilistic Modelling of Urban Thematic Zones & Contexts
doi https://doi.org/10.52842/conf.caadria.2022.1.465
source Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 465-474
summary In this paper, a "place" is conceptualised as a composition of dynamic socioeconomic activities and collective perceptions. We apply generative probabilistic modelling to explore urban contextual semantics. By analogy to sorting documents into different topics, this research retrieves data embedding for each urban regions and classify them with thematic zones. Using Singapore as a case study, topic modelling is applied to retrieve perceptual and functional thematic zones from Instagram and TripAdvisor respectively. A subsequent analysis shows strong correlations among certain regions with functional and perceptual consistency. In addition, with our proposed uniqueness and diversity indices, a strong negative correlation at 0.82 is found, suggesting that a region could be more unique if the functions tend to be dominated by certain types of functional and perceptual thematic zones.
keywords Machine Learning, Natural Language Processing, Generative Probabilistic Models, Urban Data Modelling, Thematic Zones, Topic Modelling, SDG 11
series CAADRIA
email
last changed 2022/07/22 07:34

_id caadria2019_270
id caadria2019_270
authors Liu, Quan, Li, Xintian, Mao, Ming, Gu, Mengjie and Ye, Qingfeng
year 2019
title The Study on the Relationship between Storm Surface Runoff and the Form of Street-Block using the Cellular Automata Model
doi https://doi.org/10.52842/conf.caadria.2019.1.331
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 331-340
summary This paper focuses on the reduction of storm surface runoff through optimizing the layout of permeable green area and other morphological elements of the urban street-block, and a distributed hydrological model based on cellular automata (CA) are used to accurately distinguish the impact of storm runoff reduction of various blocks, accordingly helping to find the morphological principle of surface runoff optimization. The model includes morphological setting and hydrological setting. The morphological setting includes the shape and size, land cover, and slope of street-block. The hydrological setting is based on Nanjing, China and include the process of rainfall, infiltration, surface flow, out flow. Comparing the results of runoff indicators, it can be found that the runoff can be greatly influenced by the layout of morphological elements of street-block. Therefore, it can be reduced by optimization the form of street-block in design process.
keywords urban form; street-block; building fabric; storm surface runoff; cellular automata
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2022_157
id caadria2022_157
authors Liu, Sijie, Wei, Ziru and Wang, Sining
year 2022
title On-site Holographic Building Construction: A Case Study of Aurora
doi https://doi.org/10.52842/conf.caadria.2022.2.405
source Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 405-414
summary Geometrically complex building components‚ reliance on high-touch implementation often results in tedious information reprocessing. Recent use of Mixed Reality (MR) in architectural practices, however, can reduce data translation and potentially increase design-to-build efficiency. This paper uses Aurora, a single-story residential building for 2021 China‚s Solar Decathlon Competition, as a demonstrator to evaluate the performance of on-site holographic building construction. This paper firstly reviews recent studies of MR in architectural design and practice. It then describes an MR-aided construction process of Aurora's non-standard building envelope and rooftop mounting structure, where in-situ holographic registration, human-machine cooperation, and as-built analysis are discussed. This paper concludes by stating that MR technologies provide unskilled implementers with a handy approach to materialise complex designs. The research was guided by the UN Sustainable Development Goals, especially aligning with the GOAL 9 which seeks innovations in industry and infrastructure.
keywords Mixed Reality, Non-standard Architecture, Low-tech Construction, Solar Decathlon Competition, SDG 9
series CAADRIA
email
last changed 2022/07/22 07:34

_id ga0226
id ga0226
authors Liu, X., Frazer, Jh. and Tang, M.X.
year 2002
title A generative design system based on evolutionary and mathematical functions
source International Conference on Generative Art
summary Previous work by Professor John Frazer on Evolutionary Architecture provides a basis for the development of a system evolving architectural envelopes in a generic and abstract manner. Recent research by the authors has focused on the implementation of a virtual environment for the automatic generation and exploration of complex forms and architectural envelopes based on solid modelling techniques and the integration of evolutionary algorithms, enhanced computational and mathematical models. Abstract data types are introduced for genotypes in a genetic algorithm order to develop complex models using generative and evolutionary computing techniques. Multi-objective optimisation techniques are employed for defining the fitness function in the evaluation process.
series other
email
more http://www.generativeart.com/
last changed 2003/08/07 17:25

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